AI in Education Can Democratize Expertise—But Only If Systems Evolve

As artificial intelligence becomes increasingly embedded in our everyday lives, AI and education are becoming more tightly intertwined. Many teachers and students are experimenting with AI in education, from personalized tutoring tools to automated lesson planning. While traditional edtech tools struggled to deliver on the promise of personalized learning, today’s generative AI appears poised to finally unlock that vision and democratize access to high-quality support in every classroom.

But will it empower educators and students, or simply make outdated systems more efficient? What happens when every student and teacher has an expert at their fingertips but not the tools to know how best to use it?

In this episode of The Future of Education, Class Disrupted co-hosts Michael Horn and Diane Tavenner welcome John Bailey, a seasoned AI policy advisor and longtime voice in education technology. Together, they explore the potential and pitfalls of AI as a tool to democratize expertise in the classroom.

The key topics of discussion…

  • AI in education as a “zero-cost expert”: Bailey explains how AI has evolved beyond democratizing information to democratizing expertise—empowering every teacher with tools once reserved for curriculum developers, instructional coaches, or special education experts.
  • Efficiency vs. effectiveness: The trio explores the risk that AI could reinforce the status quo in education, making existing models more efficient rather than more equitable or effective.
  • The limits and dangers of AI in classrooms: Bailey cautions against over-reliance on AI-generated materials, warns about its potential to short-circuit critical student learning processes, and raises concerns over AI companions contributing to youth social isolation.

John Bailey is a nonresident senior fellow at the American Enterprise Institute and a strategic advisor for multiple organizations, including the Chan Zuckerberg Initiative and the Commonwealth of Virginia’s AI Taskforce. With a career spanning federal and state education policy, pandemic response strategy, and AI innovation, Bailey brings a rare blend of cross-sector insight. He is known for shaping tech-forward education policy and advising some of the world’s leading AI research teams on safety, alignment, and societal impact.

Recent Episodes

Automation and AI aren’t arriving someday—they’re already reshaping factory floors, logistics hubs, and technical workplaces right now. That shift is putting schools, especially Career and Technical Education (CTE) programs, on the spot: the jobs students are training for are evolving faster than most curricula. In its Future of Jobs Report 2025, the World Economic…

Detroit is in the middle of a historic transformation—powered increasingly by technology, workforce innovation, and community-driven economic mobility. As industries shift and new tech corridors rise, cities like Detroit are asking a critical question: How do we ensure the future of innovation belongs to everyone who lives here? The upcoming launch of the University of…

As colleges and universities grapple with enrollment pressures, shifting student expectations, and a tightening labor market shaped by AI and automation, the demand for meaningful work-based learning experiences has grown dramatically. Research across the UK’s higher education sector shows that hands-on industry engagement is becoming a leading factor in student decision-making and employability outcomes. Institutions…